Research On Reconciliation Algorithm For Measurement And Control Data Of Complex Steam Pipe Network And Design Of Its Application Platform

The steam pipe network of large enterprises is large in scale and complicated in internal structure.Great errors in the completeness,accuracy,consistency and timeliness of measurement and control data due to incomplete configuration of existing monitoring instruments,poor detection accuracy and aging failures have emerged.In this paper,after analyzing the different characteristics of the flow,temperature and pressure measurement values of the steam pipe network,the corresponding data correction algorithm is proposed,and the steam pipe network data correction system based on the iron and steel enterprise is developed,which not only effectively improves the steam energy utilization of the enterprise Rate,but also provides guarantees for energy measurement,reasonable scheduling and safe production of enterprises.The main work content is as follows:(1)In-depth study of the basic theoretical knowledge of the significant error detection and data coordination of the classic data correction technology,and analysis of the advantages and disadvantages of different traditional algorithms,It is proposed that only the characteristics of different data of steam pipe network should be contacted to find the optimal algorithm combination And theoretical innovation is the fundamental way of steam pipe network data correction.(2)Aiming at the problem that a single classic data correction algorithm can not accurately correct the flow measurement value of the steam pipe network with complex structure,this paper combines the flow balance characteristics of the steam pipe network,and proposes NTMT and FNTMT joint data correction algorithm.And established the flow restriction model of the steam pipe network.Finally,the corresponding algorithm program was written by MATLAB software to compare and simulate the flow data collected on site.The comprehensive experimental results show that both methods effectively increase the quality of the flow measurement data of the steam pipe network,but the correction result of the FNTMT data correction algorithm tends to be more true.(3)In view of the problem that the temperature and pressure measurement values that do not conform to the conservation of materials in the steam pipe network of complex structures cannot be corrected by traditional correction algorithms,this paper innovatively proposes the core principal component analysis(KPCA)and extended Kalman Data correction algorithm combined with filtering(EKF).The discrete models of principal components and spatial states are established and simulations are carried out.Experiments show that this method not only strengthens the nonlinear diagnostic capability of significant error detection and the dynamic estimation capability of data coordination,but also ensures the accuracy and improves the timeliness characteristics of correction data.(4)Aiming at the problems that the current data correction software platform is generally expensive,incompatible,and the application of traditional monitoring and correction technology in the steam pipe network is not ideal,this article designed a Data monitoring and correction system for steam pipe network of iron and steel enterprises.Real-time management,monitoring and dynamic data correction of flow,pressure and temperature data during the operation of the steam pipe network,and the use of on-site pressure data of the pipe network to verify the practical value of the monitoring and correction system.